Data Scientist

Key Skills

Algorithms, Amazon RedShift, Amazon Simple Storage Service (S3), Analytical and Problem solving, Apache Hadoop, C Programming, C++, D3.js, Data Analytics, Data Mining, Data science techniques, Data Visualization, Effective communication skills, Git, Github, Google Analytics, Java Programming, JavaScript, Machine learning techniques, MATLAB Programming, MongoDB, MySQL, NumPy, PostgreSQL, Python Programming, R Programming, SPARK Programming, SQL Server, Tableau

Job Description

Key Responsibilities

• Work with Engineers or other stakeholders to identify key metrics and opportunities for improving business processes, products, and services
• Coordinate with different functional teams to implement models and monitor outcomes
• Build, deploy, and maintain data management systems and back-end data infrastructure for business intelligence pipeline
• Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
• Perform data mining, exploration, and analysis 
• Create data visualizations, reports, dashboards, and data audits
• Design, train, and implement machine learning algorithms
• Leverage predictive models to optimize customer experiences
• Creating automated anomaly detection

Qualifications

Minimum Requirements:

• Bachelor's degree in data science, data analytics, or related field
• Highly motivated with excellent verbal and written communication, presentation, facilitation, negotiation, and problem-solving skills
• Master’s degree or Ph.D. in a quantitative field, such as statistics, computer science, mathematics, or engineering
• Experience in developing models and algorithms using Python
• Experience with databases like SQL Server, MySQL, PostgreSQL, MongoDB etc. for handling large data sets as well as experience working with statistical analyses, data washing and statistical filtering
• Experience with version control tools Git / GitHub
• Knowledge of data science toolkits such as R, NumPy, and MatLab
• Expertise in data mining and machine learning
• Working knowledge of statistical models and business intelligence
• Familiarity with cloud-based infrastructure
• Ability to store and process unstructured data with NoSQL databases and machine learning models
• Experience with big data analytics technologies such as Spark and Hadoop
• Experience with data visualization tools such as D3.js and Tableau

Preferred Qualifications:

• Business acumen and client facing experience will be a plus
• Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
• Good scripting and programming skills 
• Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
• Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.

Attributes / Skills / Desired Certifications:

• Excellent communication and presentation skills
• Certified Data Scientist Certification

Additional Information

With infrastructure investment accelerating worldwide, our services are in great demand, and there’s never been a better time to be at AECOM! Join us, and you’ll get all the benefits of being a part of a global, publicly traded firm – access to industry-leading technology and thinking and transformational work with big impact and work flexibility.